Software Engineer III, AI/ML, Google Fi

Experteer Overview In this role you will build software that powers Google Fi, a global mobile connectivity service. You’ll contribute to AI-enabled features and large-scale systems that support millions of subscribers. You will collaborate with cross-functional teams to ship reliable code, improve ML workflows, and optimize data processing. This is a fast-paced, impact-driven opportunity to shape how users stay connected and leverage AI across products. Compensation / Benefits * Write product or system development code * Collaborate with peers and stakeholders through design and code reviews to ensure best practices * Contribute to documentation and educational content and adapt it to updates * Triage issues and debug/resolve impact on hardware, network, or service operations * Implement solutions in specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing Tasks * Bachelor’s degree or equivalent practical experience * 2 years of software development experience or 1 year with an advanced degree * 1 year of experience with speech/audio, reinforcement learning, or another ML field * 1 year of experience with ML infrastructure (model deployment, evaluation, optimization, data processing, debugging) Key requirements * 15% bonus target * equity * benefits at Google * opportunity to work on AI-focused initiatives

Experteer Overview In this role you will build software that powers Google Fi, a global mobile connectivity service. You’ll contribute to AI-enabled features and large-scale systems that support millions of subscribers. You will collaborate with cross-functional teams to ship reliable code, improve ML workflows, and optimize data processing. This is a fast-paced, impact-driven opportunity to shape how users stay connected and leverage AI across products. Compensation / Benefits * Write product or system development code * Collaborate with peers and stakeholders through design and code reviews to ensure best practices * Contribute to documentation and educational content and adapt it to updates * Triage issues and debug/resolve impact on hardware, network, or service operations * Implement solutions in specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing Tasks * Bachelor’s degree or equivalent practical experience * 2 years of aa ensure development experience or 1 year with an advanced degree * 1 year of experience with speech/audio, reinforcement learning, or another ML field * 1 year of experience with ML infrastructure (model deployment, evaluation, optimization, data processing, debugging) Key requirements * 15% bonus target * equity * benefits at Google * opportunity to work on AI-focused initiatives